Highway Research Record

VI. RESEARCH WORK DONE IN ACADEMIC INSTITUTIONS RELATED TO THESIS WORK
C. TRAFFIC AND TRANSPORTATION
Modeling Generalised Cost of Travel for Urban Bus Users

Date of Start: July 2004
Indian Institute of Technology, Kharagpur (S, I)

Scope and Objective
Objectives
a. Estimate parameters of Generalised Cost of Travel by developing utility equations using Multinomial Logit Models
b. Studying the Sensitivity of parameters of generalized Cost

Scope
a. Design of Survey Experiment
b. Conducting Revealed and Stated preference surveys in Kolkata
c. Development of Generalised Cost for Kolkata Bus Users d. Sensitivity analysis of Generalised Cost Parameters

Methodology
Methodology involves preparation of Questionnaire for collecting RP and SP data using fractional factorial technique after identifying the attributes and their levels, carrying out personal interviews for collecting trip makers responses, development of utility equations using random utility theory based MNL models, formulating Generalised Cost Model from Utility equations and studying the sensitivity of Generalised Cost Model parameters with various cross classified groups based on Socioeconomic and Trip characteristics. Attributes considered in the present study include Comfort, Travel time, Waiting time, Appearance, Noise level and Travel Cost.

Findings and Conclusions
Stated preference techniques are found to be instrumental for developing utility models and estimating perceived values associated with various attributes of travel for urban bus users in Kolkata. The responses obtained from urban bus users are also found to be consistent. Using stated preference techniques and MNL, subjective values associated with quantitative attributes like in-vehicle travel time, waiting time, and qualitative attributes like Discomfort level, Appearance of Vehicle and Noise level are estimated. Using the estimated subjective values associated with different attributes of travel, the generalized cost model for urban bus users in Kolkata is also developed. Sensitivity analysis for perceived values associated with different travel attributes is carried out after suitable cross-classification of data, and the results are found to be logical and consistent.